Learn Data Science in 3 Months
🛈⏬I've created a 3 month curriculum to help you go from absolute beginner to proficient in the art of data science! This open source curriculum consists of purely free resources that I’ve compiled from across the Web and has no prerequisites, you don’t even have to have coded before. I’ve designed it for anyone who wants to improve their skills and find paid work ASAP, ether through a full-time position or contract work. You’ll be learning a host of tools like SQL, Python, Hadoop, and even data storytelling, all of which make up the complete data science pipeline. Curriculum for this video: https://github.com/llSourcell/Learn_Data_Science_in_3_Months Please Subscribe! And like. And comment. That's what keeps me going. Want more education? Connect with me here: Twitter: https://twitter.com/sirajraval Facebook: https://www.facebook.com/sirajology instagram: https://www.instagram.com/sirajraval Join us in the Wizards Slack channel: http://wizards.herokuapp.com/ And please support me on Patreon: https://www.patreon.com/user?u=3191693 Week 1 - Learn Python - EdX https://www.edx.org/course/introduction-python-data-science-2 - Siraj Raval https://www.youtube.com/watch?v=T5pRlIbr6gg&list=PL2-dafEMk2A6QKz1mrk1uIGfHkC1zZ6UU Week 2 - Statistics & Probability - KhanAcademy https://www.khanacademy.org/math/statistics-probability Week 3 - Data Pre-processing, Data Vis, Exploratory Data Analysis - EdX https://www.edx.org/course/introduction-to-computing-for-data-analysis Week 4 - Kaggle Project #1 Week 5-6 - Algorithms & Machine Learning - Columbia https://courses.edx.org/courses/course-v1:ColumbiaX+DS102X+2T2018/course/ Week 7 - Deep Learning - Part 1 and 2 of DL Book https://www.deeplearningbook.org/ - Siraj Raval https://www.youtube.com/watch?v=vOppzHpvTiQ&list=PL2-dafEMk2A7YdKv4XfKpfbTH5z6rEEj3 Week 8 - Kaggle Project #2 Week 9 - Databases (SQL + NoSQL) - Udacity https://www.udacity.com/course/intro-to-relational-databases--ud197 - EdX https://www.edx.org/course/introduction-to-nosql-data-solutions-2 Week 10 - Hadoop & Map Reduce + Spark - Udacity https://www.udacity.com/course/intro-to-hadoop-and-mapreduce--ud617 - Spark Workshop https://stanford.edu/~rezab/sparkclass/slides/itas_workshop.pdf Week 11 - Data Storytelling - Edx https://www.edx.org/course/analytics-storytelling-impact-1 Week 12- Kaggle Project #3 Signup for my newsletter for exciting updates in the field of AI: https://goo.gl/FZzJ5w Hiring? Need a Job? See our job board!: www.theschool.ai/jobs/ Need help on a project? See our consulting group: www.theschool.ai/consulting-group/These Ancient Relics Are So Advanced They Shouldn't Exist...
🛈⏬First 500 people get a free 2 month trial of Skillshare http://skl.sh/thoughty3 JOIN The PRIVATE Thoughty2 Club & Get Exclusive Perks! http://bit.ly/t2club SUBSCRIBE - New Video Every Two Weeks http://bit.ly/thoughty2 BECOME A PATRON and support Thoughty2: https://www.patreon.com/thoughty2 Thoughty2 Merchandise: https://shop.thoughty2.com/ Thoughty2 Facebook: http://bit.ly/thoughtyfb Thoughty2 Instagram: http://bit.ly/t2insta Thanks to The Patreon Research Team: David Davenport, Michael Mulligan, Jeff Li, Anais Namahoro, NoaWhat Is A Data Scientist?
'BEST CAREER ADVICE & GUIDANCE' (ft.Sundar Pichai) - Motivational video 2017 | Eternal Explorer
🛈⏬Subscribe: http://youtube.com/EternalExplorer?su... Facebook: https://www.facebook.com/EternalExplorer Twitter: http://www.twitter.com/EternalXplorer DISCLAIMER: This is an educational and motivational video meant only for inspiring the viewers. Viewer's discretion is advised. Video clips used are for illustrative purpose only to make the point in the audio. All copyrights are acknowledged to their rightful owners. Eternal Explorer does not claim to own any copyrights. The sole purpose of this video is to inspire, empower and educate the viewers. SPEAKER: Sundar Pichai (CEO, Google) Full Interviews: https://www.youtube.com/watch?v=MwAOeUmkT-U https://www.youtube.com/watch?v=bmzpKqpigM8 VIDEO SOURCE CREDITS: Google I/O 2016 - Keynote https://www.youtube.com/watch?v=862r3XS2YB0 Sharing a Dream - IIT Kanpur Documentary https://www.youtube.com/watch?v=bmhH7ZXiSMo A tribute to entrepreneurs https://www.youtube.com/watch?v=yDc4zjAdp5A Dayawanti Punj Model School, India - Educational Documentary https://www.youtube.com/watch?v=1ctS5pNZf1U Google Classroom: Mission control for students and teachers https://www.youtube.com/watch?v=-apCIbV9YKA Introducing Google for Entrepreneurs https://www.youtube.com/watch?v=NcXiF4DZ8Hg The Google for Entrepreneurs Network https://www.youtube.com/watch?v=TriV26badTU Ready for the Road https://www.youtube.com/watch?v=uCezICQNgJU Sehwag International School: Introduction By Virender Sehwag https://www.youtube.com/watch?v=p5S9LuRVTyg (Please watch and support all videos listed above. They are truly great and very informative) MUSIC: Nexus3Music Nexus: Amble https://youtu.be/yt0m7dHloqk --------------------------------------------------------------------------- OTHER VIDEOS BY ETERNAL EXPLORER 'BE THE CHANGE' (ft.Aamir Khan) - Motivational video https://www.youtube.com/watch?v=nsmEa22xCOc 'THE WAY TO SUCCESS' - Motivational Video (ft.Shah Rukh Khan) https://www.youtube.com/watch?v=WFIPqNLENSQ 'SECRET OF LIFE & SUCCESS' - SRK Inspirational video https://www.youtube.com/watch?v=UeiBF0somEo 'FACE YOUR FEARS & FAILURES - 2' (ft.Shah Rukh Khan) - Inspirational Video https://www.youtube.com/watch?v=KDSw7cNacbc 'PARENTS' - SRK Inspirational video | Shahrukh Khan speech https://www.youtube.com/watch?v=BBerNAZARnM&t=2s Face your Fears & Failures (ft.ShahRukh Khan) - Inspirational video https://www.youtube.com/watch?v=AYJKrcAjq-A 'LIFE' - Motivational video (ft.Amitabh Bachchan) https://www.youtube.com/watch?v=GiO0kk7z1a4 'TRUST YOURSELF' (ft. Arnold Schwarzenegger) - Motivational video https://youtu.be/lHnTeyMAf80 'BELIEVE' (ft.Will Smith) - Motivational Video 2016 https://www.youtube.com/watch?v=9q__a... 'IMPOSSIBLE IS NOTHING' (ft. Hrithik Roshan) - Motivational video https://www.youtube.com/watch?v=qCH60... 'FOLLOW YOUR HEART' - Motivational video (ft.Aamir Khan) https://www.youtube.com/watch?v=7dla5ut8Tpo 'FOCUS' - Motivational video (ft.Aamir Khan) https://www.youtube.com/watch?v=gElqzH25XuI ----------------------------------------­------------------------------------ FAIR-USE COPYRIGHT DISCLAIMER * Copyright Disclaimer Under Section 107 of the Copyright Act 1976, allowance is made for fair use for purposes such as criticism, commenting, news reporting, teaching, scholarship, and research. Fair use is a use permitted by copyright statute that might otherwise be infringing. Non-profit, educational or personal use tips the balance in favour of fair use. -This video has no negative impact on the original works (It would actually be positive for them) -This video is mainly for teaching and motivational purposes. -It is positively transformative in nature. -I only used bits and pieces of videos to get the point across where necessary. I do not wish to reveal the story or use the 'heart' of any of the content. I respect every content creator and their original work. I take clips from various sources to help create an atmospheric feeling that will help and inspire people in their life. These clips and extracts are of a minimal nature and the use is not intended to interfere in any manner with their commercial exploitation of the compete work by the owners of the copyright. I also do not wish to use the heart of any piece of work that would perhaps decrease the market value of the original content, if anything I hope to promote the content so that people can reach out and subsequently increase the market value. I make these videos with the intention of educating others in a motivational/inspirational form. I do not own the clips and music we use in most cases. Our understanding is that it is in correlation to Fair Right Use, however given that it is open to interpretation, if any owners of the content clips would like us to remove the video, we have no problem with that and will do so as fast as possible. Please message on YouTube or Facebook if you have any concerns. ----------------------------------------­-------------------------------------- THANK YOU ALL !TiEcon 2013 Big Data Scientist - You Can Be a Data Scientist Too!
🛈⏬The honor of Sexiest job title of 21st Century in the industry today goes to Data Scientist . Armed with data and analytical results, a top-tier data scientist can be an organizational change agent but this breed of professionals is tough to find and harder to groom. But what does a data scientist do and how does a typical day in the life of a data scientist look like? In addition to answering these questions in this session, the very person who coined the term data scientist , will share with the audience how to energize an organization by creating a culture of data science. Moderator: Jim Kaskade CEO Infochimps Speaker: Dr DJ Patil Data Scientist in Residence Greylock Partners For more info, check out http://tiecon.org/ Follow the action on Twitter #TiEcon! TiE - The Indus Entrepreneurs: Fostering Entrepreneurship Globally http://tie.org/What is Blockchain
🛈⏬Blockchain explained. Shai Rubin, CTO of Citi Innovation Lab, explains in an easy and simple way the basics of blockchain.Analytical Thinking Techniques
🛈⏬Learn how to boost your Analytical Thinking skills by deploying thinking techniques used by Business Data Analysts on a daily basis. Go beyond critical thinking and learn how to think analytically. Visit tranchetraining.com to sign up for our Business Data Analytics course.Masters in Data Analytics, Ireland
🛈⏬This video provides information on Masters in Data Analytics course in Ireland. What would you learn from Analytics course, What to study before coming for this course, What kind of Jobs you would be eligible for and few tips.Artificial Intelligence Vs Machine Learning Vs Data science Vs Deep learning
🛈⏬For More information Please visit https://www.appliedaicourse.comHow to: Work at Google — How We Hire
🛈⏬Watch our video to get the details of hiring at Google — our recruiters will walk you through the process and bust some myths! Head over to https://goo.gl/BEKV6Z to find your role, or read more about how we hire at http://goo.gl/xSD7jo. Subscribe to Life at Google for more videos → https://goo.gl/kqwUZd Follow us! Twitter: https://goo.gl/kdYxFP Facebook: https://goo.gl/hXDzLf Google Plus: https://goo.gl/YBcMZK #LifeAtGoogleTop 5 Data Science Algorithms - Decision Tree, Random Forest, Linear Regression, K-Means | Edureka
🛈⏬This Data Science Tutorial delves into the top 5 data science algorithms that expert data scientists use. It's a great big data tutorial for beginners and will help you understand decision trees, data mining, association rule mining etc.Who Does What in the Tech Industry?
🛈⏬Join Treehouse today and get your first week free! https://trhou.se/2J3XpAV When setting out to learn design and development for the web or mobile, it can be difficult to figure out where to begin and where you're actually headed. In this video, Treehouse co-founder Ryan Carson explains the different types of projects, tools, and job roles that are most common in the tech industry. Learn how to build websites and apps, write code, or start a business at Treehouse. Learn from over 1,000 videos created by our expert teachers on web design, coding, business, and much more. Treehouse teaches the in-demand technology skills you need to land your dream job.Data scientist vs Data analyst , their roles and qualification
🛈⏬data scientist vs data analyst , their roles and qualificationData Engineer vs. Data Scientist
🛈⏬► DATA ENGINEER RESOURCE - Site devoted to BUILDING STRONGER DATA ENGINEERS ◄ https://thomashenson.com ► ASK BIG DATA BIG QUESTION - Submit questions to be answered on Big Data Big Questions ◄ https://www.thomashenson.com/big-questions/ ► BIG DATA BEARD PODCAST - Subscribe to learn what's going on in the Big Data Community ◄ https://bigdatabeard.com/subscribe-to-podcast/ Today in the IT world those working with data are the kings, but which is better a Data Engineer or Data Scientist? Both roles are extreme hot right now. In this episode of Big Data Big Questions I will break down the roles of a Data Engineer and Data Scientist and explain what areas to focus on for learning in each role. ► CONNECT ON TWITTER ◄ https://twitter.com/henson_tmWhat it's Like to Interview as a Data Scientist
🛈⏬This is my first video ever about interviewing as a Data Scientist. I'm not very good at speaking in front of a camera but I hope to get better. I mainly wanted to make this video for everyone interviewing for data science jobs. Here are a few links to help brush up on implementing data structures: https://www.hackerrank.com/ https://codility.com/programmers/lessons/ http://www.geeksforgeeks.org/fundamentals-of-algorithms/ https://www.codecademy.com/ https://www.topcoder.com/ https://www.codechef.com/ Study material online: https://www.khanacademy.org/computing/computer-science/algorithms https://www.coursera.org/course/algs4partI https://www.coursera.org/course/algs4partII https://www.coursera.org/course/algo https://www.coursera.org/course/algo2 Great Python specific online book /w code samples: http://interactivepython.org/runestone/static/pythonds/index.html Connect with me on LinkedIn: https://linkedin.com/in/davidyerringtonHow to Become a Data Scientist - What are the training needs
🛈⏬What is data science? What are the skills required to be a data scientist? What are the tools used by a data scientist? What is the learning path? How to become a data scientist? Data scientist is called as the sexiest job of the 21st century. They take an enormous mass of messy data points (unstructured and structured) and use their formidable skills in math, statistics, and programming to clean, massage and organize. But worry not we are here to the rescue and teach you how to be a data scientist, more importantly, upgrade your analytic skills to tackle any problem in the field of data science. Join us on statinfer.com for becoming a scientist in data science The courses are available at a nominal price on our website https://statinfer.com/course/machine-learning-with-r-2/ https://statinfer.com/course/machine-learning-with-python-2/ Part 1 – Introduction to R Programming. This is the part where you will learn basic of R programming and familiarize yourself with R environment. Be able to import, export, explore, clean and prepare the data for advance modeling. Understand the underlying statistics of data and how to report/document the insights. Part 2 – Machine Learning using R Learn, upgrade and become expert on classic machine learning algorithms like Linear Regression, Logistic Regression and Decision Trees. Learn which algorithm to choose for specific problem, build multiple model, learn how to choose the best model and be able to improve upon it. Move on to advance machine learning algorithms like SVM, Artificial Neural Networks, Reinforced Learning, Random Forests and Boosting and clustering algorithms like K-means. Data science youtube playlist. https://www.youtube.com/statinferanalytics Facebook link:- (Visit our facebook page we are sharing data science videos) https://www.facebook.com/aboutanalytics/ Visit our official website to go deeper into data science topics. https://statinfer.comWhat is machine learning and how to learn it ?
🛈⏬http://www.LearnCodeOnline.in Machine learning is just to give trained data to a program and get better result for complex problems. It is very close to data mining. While many machine learning algorithms have been around for a long time, the ability to automatically apply complex mathematical calculations to big data – over and over, faster and faster – is a recent development. Here are a few widely publicized examples of machine learning applications you may be familiar with: The heavily hyped, self-driving Google car? The essence of machine learning. Online recommendation offers such as those from Amazon and Netflix? Machine learning applications for everyday life. Knowing what customers are saying about you on Twitter? Machine learning combined with linguistic rule creation. Fraud detection? One of the more obvious, important uses in our world today. fb: https://www.facebook.com/HiteshChoudharyPage homepage: http://www.hiteshChoudhary.comTop data scientist D J Patil's Tips to Build a Career in Data
🛈⏬D J Patil, who along with top data scientist Jeff Hammerbacher coined the term “data scientist” tells you what it takes to be a data scientist During the Obama administration, Patil became the first ever chief data scientist to be appointed by the US government. Subscribe to our FactorDaily Channel: https://goo.gl/QOG5xx Checkout more of Factordaily here: http://factordaily.com/ https://www.facebook.com/factordaily/ https://twitter.com/factordailyPredictive Data Analytics in UNDER 5 Minutes
🛈⏬For NeuroSolutions Infinity software, visit: http://www.neurosolutions.com/infinity/ Download the FREE Trial: http://www.neurosolutions.com/downloads/ What is Predictive Data Analytics? Learn in under 5 minutes. This video is an introduction to Predictive Data Analytics development methodology. By the end of this video, you'll understand the core concepts of predictive data analytics. You'll be able to get started implementing it into your own custom software solutions.Learn this Before Data Science Bootcamp with Debbie Berebichez of Metis
🛈⏬Can anyone learn data science? What do you need to know before data science bootcamp? Do you need a STEM degree? We asked Metis’s Chief Data Scientist, Deborah Berebichez how to set yourself up for success: https://www.coursereport.com/blog/4-ways-to-prepare-for-data-science-bootcamp Produced by Liz Eggleston Filmed and edited by Imogen Crispe Music by bensound.comWhat Are the Top Skills Needed to Be a Data Scientist?
🛈⏬https://www.sas.com/en_us/learn/academy-data-science.html Dr. Goutam Chakraborty of Oklahoma State University outlines the top skills you need to be successful as a data scientist. SAS ACADEMY FOR DATA SCIENCE Analytical talent is in high demand. Differentiate yourself by earning your certification in big data and data science from SAS, the world leader in advanced big data analytics. The SAS Academy for Data Science can help you sharpen your skills and validate your expertise – for employers, customers and yourself. Learn more! https://www.sas.com/en_us/learn/academy-data-science.html SUBSCRIBE TO THE SAS SOFTWARE YOUTUBE CHANNEL http://www.youtube.com/subscription_center?add_user=sassoftware ABOUT SAS SAS is the leader in analytics. Through innovative analytics, business intelligence and data management software and services, SAS helps customers at more than 75,000 sites make better decisions faster. Since 1976, SAS has been giving customers around the world THE POWER TO KNOW®. VISIT SAS http://www.sas.com CONNECT WITH SAS SAS ► http://www.sas.com SAS Customer Support ► http://support.sas.com SAS Communities ► http://communities.sas.com Facebook ► https://www.facebook.com/SASsoftware Twitter ► https://www.twitter.com/SASsoftware LinkedIn ► http://www.linkedin.com/company/sas Google+ ► https://plus.google.com/+sassoftware Blogs ► http://blogs.sas.com RSS ►http://www.sas.com/rssInterview with a Data Scientist
🛈⏬This video is part of the Udacity course Intro to Programming . Watch the full course at https://www.udacity.com/course/ud000DevOps: Where to Start
🛈⏬Sanjeev Sharma, IBM Distinguished Engineer and Author, explains where to start your DevOps journey. Want to know more? Explore IBM DevOps: http://ibm.biz/Bdjdb9Inside a Data Centre - Computerphile
🛈⏬Inside one of the mysterious buildings that holds petabytes of data and crunches big numbers. Spencer Lamb shows us around a purpose built data centre in Slough in the UK, used by an organisation called Jisc/Janet which helps connect academic institutions together. Could We Ban Encryption?: https://youtu.be/ShUyfk4QB-8 Super Computer & the Milky Way: https://youtu.be/5KEhhW8TOGk Real Life Holodeck with an Oculus Rift: http://youtu.be/7ZPs7knvs7M The GRID, CERN's Global Supercomputer: https://youtu.be/cj8ZNgnzSSU EXTRA BITS - More on this data centre: https://youtu.be/an_-lxUjfeg http://www.facebook.com/computerphile https://twitter.com/computer_phile This video was filmed and edited by Sean Riley. Computer Science at the University of Nottingham: http://bit.ly/nottscomputer Computerphile is a sister project to Brady Haran's Numberphile. More at http://www.bradyharan.comHow to become a Data Scientist
🛈⏬Becoming a Data Scientist - This video will give you a broad prospective of data scientist career path that include learning to love number crunching, developing skills in algebra, statistics, and machine learning, and working on interesting data science projects. Also, check out - How to become a Data Scientist here - https://goo.gl/vud3J1 Want to learn Data Science with Python then check out , Data Scientist Certification Training Online here - https://goo.gl/b9nqvSHow to Build a Compelling Data Science Portfolio & Resume
🛈⏬Learn how to craft and tailor your Data Science resume to get noticed by Hiring Managers. Learn what to include, what not to include, and how to prioritize what to mention.How to: Prepare for a Google Engineering Interview
🛈⏬Watch our video to get the details of interviewing for our Engineering and Technical roles. Our engineers and recruiter have tips for being well-prepared for a Google interview. Learn more about how we hire at http://goo.gl/xSD7jo, then head over to https://goo.gl/BEKV6Z to find your role. Also check out our companion video, How to Work at Google: Example Coding/Engineering Interview (https://goo.gl/8NpXgn). Subscribe to Life at Google for more videos → https://goo.gl/kqwUZd Follow us! Twitter: https://goo.gl/kdYxFP Facebook: https://goo.gl/hXDzLf Google Plus: https://goo.gl/YBcMZK #LifeAtGoogleData Scientist Vs Data Analyst
🛈⏬In this video I want to talk about the differences between a data scientist and a data analyst. is data science a viable career and if so should you try to become a data scientist or a data analyst. ► Full Playlist Exploring All Things Data Science ( http://bit.ly/2mB4G0N ) ► Top 4 Best Laptops for the Data Industry ( https://youtu.be/Vtk50Um_yxA ) ► Data Scientist Masters Certification ( http://bit.ly/2yCbsac ) ► Get the Best Certified Tutorials on Data Analytics... http://jobsinthefuture.com/index.php/2017/10/13/data-scientist-vs-data-analytics-what-is-the-big-data-difference/ Questions: - What is the best career path for a data scientist? - How do I become a data analyst? - What is the difference between a data scientist and a data analyst? - Is data science the same as data analytics? - Is data science a viable career path? - Is data analytics a viable career path? Jobs related to data science are booming right now with the tech industry growing at a rapid pace, but there is a lot of confusion between the Role of a Data Scientist and a Data Analyst... I am going to QUICKLY breakdown the difference for you so that you can get started right away with your career in the Data Analytics industry! First of all what is data analytics... Data analytics is the extraction a large, large, large amounts of data that are stored within a data base. This data comes from a multiplicity of places all over the world via website traffic, in-store and online purchases, social media activity, traffic patterns, etc, etc, etc.... the list could go on and on. Basically everything we do is being collected to be used as data to advertise to us, keep us safer when we are driving, or help us find the restaurant we want to eat at. Now to The Role of Data Scientist - The IT Rock Star! Data Scientists are the top professionals in their industry. They usually hold a Masters Degree in some relative Computer Science degree or even a PhD. They understand, very well, data from a business point of view and he/she can make accurate prediction of the data to advise clients on their next big business move! Data scientists have a solid foundation of computer applications, modeling, statistics and math! Highly Advanced in coding (Python, MySQL, R, JavaScript, etc... Ability to do high levels of math quickly Fantastic Statistical Analysis Abilities Great Communication Skill: Written and Oral And they have a brilliant Knack for communicating between the IT world and the Business Professionals. Starting Salary: $115,000 The Role of Data Analyst A Data Analyst is very important in the world of data science. They are in charge of collecting, organizing, and and obtaining statistical information from a large amount of data sets (Data sets are very large pools of data that must be searched in order to find the data that is relevant to a specific study). They are also the ones responsible for formulating all of their findings into an accurate report of powerpoint presentation to give to their client or internal team. Strong Understanding of Hadoop Based Analytics (Program to help extract data from large data sets and the analyze the data) Familiar with data analytics in a business setting Must have data storing a retrieval skills Proficiency in decision making Have the ability to transform data into understandable presentation Starting Salary: $60,000 ------- SOCIAL Twitter ► @jobsinthefuture Facebook ►/jobsinthefuture Instagram ►@Jobsinthefuture WHERE I LEARN: (affiliate links) Lynda.com ► http://bit.ly/2rQB2u4 edX.org ► http://fxo.co/4y00 MY FAVORITE GEAR: (affiliate links) Camera ► http://amzn.to/2BWvE9o CamStand ► http://amzn.to/2BWsv9M Compute ► http://amzn.to/2zPeLvs Mouse ► http://amzn.to/2C0T9hq TubeBuddy ► https://www.tubebuddy.com/bengkaiser ► Download the Ultimate Guide Now! ( https://www.getdrip.com/forms/883303253/submissions/new ) Thanks for Supporting Our Channel! DISCLAIMER: This video and description contains affiliate links, which means that if you click on one of the product links, I’ll receive a small commission. This help support the channel and allows us to continue to make videos like this. Thank you for the support!What is Data Science? | Introduction to Data Science | Data Science for Beginners | Simplilearn
🛈⏬This Data Science tutorial will help you in understanding what is Data Science, why we need Data Science, prerequisites for learning Data Science, what does a Data Scientist do, Data Science lifecycle with an example and career opportunities in Data Science domain. You will also learn the differences between Data Science and Business intelligence. The role of a data scientist is one of the sexiest jobs of the century. The demand for data scientists is high, and the number of opportunities for certified data scientists is increasing. Every day, companies are looking out for more and more skilled data scientists and studies show that there is expected to be a continued shortfall in qualified candidates to fill the roles. So, let us dive deep into Data Science and understand what is Data Science all about. This Data Science tutorial will cover the following topics: 1. Need for Data Science? ( 00:50 ) 2. What is Data Science? ( 05:55 ) 3. Data Science vs Business intelligence ( 11:44 ) 4. Prerequisites for learning Data Science ( 16:36 ) 5. What does a Data scientist do? ( 24:31 ) 6. Data Science life cycle with use case ( 30:17 ) 7. Demand for Data scientists ( 47:17 ) To learn more about Data Science, subscribe to our YouTube channel: https://www.youtube.com/user/Simplilearn?sub_confirmation=1 You can also go through the Slide here: https://goo.gl/3d2pNv Read the full article here: https://www.simplilearn.com/career-in-data-science-ultimate-guide-article?utm_campaign=What-is-Data-Science-KxryzSO1Fjs&utm_medium=Tutorials&utm_source=youtube Watch more videos on Data Science: https://www.youtube.com/watch?v=0gf5iLTbiQM&list=PLEiEAq2VkUUIEQ7ENKU5Gv0HpRDtOphC6 #DataScienceWithPython #DataScienceWithR #DataScienceCourse #DataScience #DataScientist #BusinessAnalytics #MachineLearning This Data Science with Python course will establish your mastery of data science and analytics techniques using Python. With this Python for Data Science Course, you’ll learn the essential concepts of Python programming and become an expert in data analytics, machine learning, data visualization, web scraping and natural language processing. Python is a required skill for many data science positions, so jumpstart your career with this interactive, hands-on course. Why learn Data Science? Data Scientists are being deployed in all kinds of industries, creating a huge demand for skilled professionals. Data scientist is the pinnacle rank in an analytics organization. Glassdoor has ranked data scientist first in the 25 Best Jobs for 2016, and good data scientists are scarce and in great demand. As a data you will be required to understand the business problem, design the analysis, collect and format the required data, apply algorithms or techniques using the correct tools, and finally make recommendations backed by data. You can gain in-depth knowledge of Data Science by taking our Data Science with python certification training course. With Simplilearn’s Data Science certification training course, you will prepare for a career as a Data Scientist as you master all the concepts and techniques. Those who complete the course will be able to: 1. Gain an in-depth understanding of data science processes, data wrangling, data exploration, data visualization, hypothesis building, and testing. You will also learn the basics of statistics. Install the required Python environment and other auxiliary tools and libraries 2. Understand the essential concepts of Python programming such as data types, tuples, lists, dicts, basic operators and functions 3. Perform high-level mathematical computing using the NumPy package and its large library of mathematical functions Perform scientific and technical computing using the SciPy package and its sub-packages such as Integrate, Optimize, Statistics, IO and Weave 4. Perform data analysis and manipulation using data structures and tools provided in the Pandas package 5. Gain expertise in machine learning using the Scikit-Learn package The Data Science with python is recommended for: 1. Analytics professionals who want to work with Python 2. Software professionals looking to get into the field of analytics 3. IT professionals interested in pursuing a career in analytics 4. Graduates looking to build a career in analytics and data science 5. Experienced professionals who would like to harness data science in their fields Learn more at: https://www.simplilearn.com/big-data-and-analytics/python-for-data-science-training?utm_campaign=What-is-Data-Science-KxryzSO1Fjs&utm_medium=Tutorials&utm_source=youtube For more information about Simplilearn’s courses, visit: - Facebook: https://www.facebook.com/Simplilearn - Twitter: https://twitter.com/simplilearn - LinkedIn: https://www.linkedin.com/company/simp... - Website: https://www.simplilearn.com Get the Android app: http://bit.ly/1WlVo4u Get the iOS app: http://apple.co/1HIO5J05 Must Have Skills To Become Machine Learning Engineer
🛈⏬Hello Everyone!!! Let's check out what are the 5 must-have skills to become a machine learning engineer. First, let's understand what machine learning is. In simple words., Machine learning is all about making the computers to perform intelligent tasks without explicitly coding. This is achieved by training the computer with lots and lots of data. For example: Detecting whether a mail is a spam or not, recognizing handwritten digits, Fraud detection in Transactions... and many such applications... Now let's see what are the top 5 skills to get a machine learning job. 1). At number 1, we have Math Skills: Under math skills, we need to know probability and statistics, linear algebra and calculus. Probability and Statistics: Machine learning is very much closely related to statistics. You need to know the fundamentals of statistics and probability theory, descriptive statistics, Baye's rule and random variables, probability distributions, sampling, hypothesis testing, regression and decision analysis. Linear Algebra: You need to know how to with matrices and some basic operations on matrices such as matrix addition, subtraction, scalar and vector multiplication, inverse, transpose and vector spaces. Calculus: In calculus, you need to know the basics of differential and integral calculus. 2). At number two we have Programming skills: A little bit of coding skills is enough. But it's preferred to have the knowledge of data structures, algorithms and Object Oriented Programming (or OOPs) concepts. Some of the popular programming languages to learn for machine learning is Python, R, Java, and C++. It's your preference to master any one programming language. But its advisable to have a little understanding of other languages and what their advantages and disadvantages are over your preferred one. 3). At number 3 we have Data engineer skills: Ability to work with large amounts of data (or big data), Data preprocessing, the knowledge of SQL and NoSQL, ETL (or Extract Transform and Load) operations, data analysis and visualization skills. 4). Next, we have Knowledge of Machine Learning Algorithms: you should be familiar with popular machine learning algorithms such as linear regression, logistic regression, decision trees, random forest, clustering (like K means, hierarchical), reinforcement learning and neural networks. 5). And Finally, The Knowledge of Machine Learning Frameworks: You Should be Familiar with popular machine learning frameworks such as sci-kit learn, tensorflow, Azure, caffe, theano, spark and torch. Music: www.bensound.comHow to Become a Data Scientist in 2019? | Data Science Tutorial | Intellipaat
🛈⏬Intellipaat Data Science Course:- https://intellipaat.com/data-scientist-course-training/ This how to become a Data Scientist in 2019 tutorial is an explanation on understanding Data Science, who can become a Data Scientist, which one to choose between R or python for Data Science, why do we need Data Scientist, Data Science lifecycle, Data Science algorithms, how Big Data is driving the Data Science revolution and Data Science career prospects in this Data Science tutorial video in detail. Interested to learn how to become Data Scientist still more? Please check similar Data Scientist & Data Science tutorial blogs here:-https://goo.gl/hscmgp Watch complete Data Science tutorial here:- https://goo.gl/f5AKE7 This how to become a Data Scientist in 2019 tutorial helps you to learn following topics: 00:23- Understanding Data Science - Uber Example 02:18 – Who can become a Data Scientist? 02:40 – Data Science with R or Python 02:58 – Why do we need Data Scientist? 03:32 – Data Science Life cycle 04:40 – Data Science Algorithms 05:08 – How Big Data is driving the Data Science Revolution? 05:16 – Hadoop – Big Data Framework 06:02 – Data Science Career Prospects Are you looking for something more? Enroll in our Data Science course and become a certified Data Scientist (https://goo.gl/7huxCd). It is a 40 hrs instructor led Data Science training provided by Intellipaat which is completely aligned with industry standards and certification bodies. If you’ve enjoyed this how to become a Data Scientist in 2019 tutorial, Like us and Subscribe(https://goo.gl/hhsGWb) to our channel for more similar Data Science videos and free tutorials. Got any questions about Data Science Course? Ask us in the comment section below. ---------------------------- Intellipaat Edge 1. 24*7 Life time Access & Support 2. Flexible Class Schedule 3. Job Assistance 4. Mentors with +14 yrs 5. Industry Oriented Course ware 6. Life time free Course Upgrade ------------------------------ Why should you watch this Data Science Tutorial? You can learn Data Science much faster than any other technology and this Introduction to Data Science tutorial helps you do just that. This Intellipaat how to become a Data Scientist in 2019 tutorial will familiarize you with the various Data Science concepts to master data science. Data Science is one of the best technological advances that is finding increased applications for machine learning and in a lot of industry domains. We are offering the top Data Science tutorial to gain knowledge in Data Science. Our Data Science course has been created with extensive inputs from the industry experts so that you can learn Data Science training and apply it for real world scenarios. Who should watch this Data Science tutorial video? If you want to learn what is Data Science to become a Data Scientist then this Intellipaat Data Science tutorial is for you. The Intellipaat how to become a data scientist tutorial is your first step to learn Data Science. We are covering the most important data science, data analytics, project life cycle, data acquisition, analysis, statistical methods and machine learning with Hands on Projects in our data science course. Since this Data Science tutorial video can be taken by anybody, so if you are a beginner in technology then you can also enroll for Data Science training to take your skills to the next level. Why Data Science is important? Data Science is taking over each and every industry domain. Machine Learning and especially Deep Learning are the most important aspects of Data Science that are being deployed everywhere from search engines to online movie recommendations. Taking the Intellipaat Data Science training & Data Science Course can help professionals to build a solid career in a rising technology domain and get the best jobs in top organizations. Why should you opt for a Data Science career? If you want to fast-track your career then you should strongly consider Data Science. The reason for this is that it is one of the fastest growing technology. There is a huge demand for Data Scientist. The salaries for Data Scientist is fantastic.There is a huge growth opportunity in this domain as well. Hence this Intellipaat how to become a data scientist tutorial is your stepping stone to a successful career! #whatisdatascience #howtobecomeadatascientist #datasciencetutorial #datasciencecareer ------------------------------ For more Information: Please write us to sales@intellipaat.com, or call us at: +91- 7847955955 Website: https://goo.gl/7huxCd Facebook: https://www.facebook.com/intellipaatonline LinkedIn: https://www.linkedin.com/in/intellipaat/ Twitter: https://twitter.com/IntellipaatSQL & Data Analytics for Beginners: Introduction
🛈⏬I hope you all enjoyed the video. If you'd like to learn more or got stuck, feel free to let me know in the comments below. Big Data: https://www.sciencedaily.com/releases/2013/05/130522085217.htmHow to learn data science
🛈⏬A session by Vik Paruchuri, founder of dataquest.io and self-taught data scientist, on how to learn data science. We'll do a short presentation on some of the best ways to learn, and then take questions.Simply How To Become a Data Scientist
Why Data Scientist is The Best Job Of 2018 | Simplilearn
🛈⏬“Data Scientist” is the pinnacle rank in an analytics organization. Glassdoor has ranked Data Scientist first in the 25 Best Jobs for 2016. Needless to say, good data scientists are scarce and in great demand. As a data scientist you will be required to understand the business problem, design the analysis, collect and format the required data, apply algorithms or techniques using the correct tools, and finally make recommendations backed by data. According to marketsandmarkets.com, the advanced analytics market will be worth $29.53 Billion by 2019 Wired.com points to a report by Glassdoor that the average salary of a data scientist is $118,709 Randstand reports that pay hikes in the analytics industry is 50% more than IT Become a Data Scientist today: http://www.simplilearn.com/big-data-and-analytics/senior-data-scientist-masters-program-training?utm_campaign=Why-Data-Scientist-Is-The-Best-Job-Of-2016-htNN-RtFb1Q-A&utm_medium=SC&utm_source=youtube For more updates on courses and tips follow us on: - Facebook : https://www.facebook.com/Simplilearn - Twitter: https://twitter.com/simplilearn Get the android app: http://bit.ly/1WlVo4u Get the iOS app: http://apple.co/1HIO5J0Eight Data Science Algorithms | Data Analytics
🛈⏬In this video, you will be introduced to eight very important data science algorithms used by data scientists on daily basis Contact us : analyticsuniversity@gmail.comMy Journey to Data Scientist
🛈⏬I have recently decided to make a gradual career change… I’ve decided to become a DATA SCIENTIST. I am extremely excited to start this journey of learning and exploration. I have been using Tableau Desktop since 2014 for data exploration and have come across other tools such as R Studio that have peaked my interest. I’ve taken a few online courses to learn more about what data science is and what it isn’t. From my understanding now, data science is using the scientific method to explore data and asking interesting questions to pull insights. Knowledge of mathematics and statistics is helpful in this field. I personally have always loved statistics and have a deep interest in learning how to leverage my knowledge for data exploration. Data Science is the science of getting knowledge from data. It is the meeting point of mathematics, computer science and subject matter expertise. Individuals that possess all of these skills are sometimes referred to as “unicorns” because they are so rare. Glass door has ranked Data Scientist first in the 25 Best Jobs for 2016. Good data scientists are rare and in high demand. As a data scientist you are required to understand the business problem, design the analysis, collect and prepare the required data, apply algorithms or techniques using the correct tools and software, and finally make recommendations. Basically there is a large skill gap when it comes to Data Science. A study done by McKinsey - predicts that by 2018, the US could face a shortage of almost 200,000 people that have deep analytical skills Why am I so fascinated with data science? I always liked getting a fresh set of data and trying to see what it’s telling me; especially using unstructured data that appears complex. I thrive on being able to pull helpful and interesting insights from data. I also believe that data science will hold a special spot as a career in the future. With the amount of data that is collected growing exponentially, data scientists will be in high demand to make sense of it all. The vast majority (about 80%) of data collected is unstructured; for me, that is even more fun as a future data scientist! I am currently working full-time as part of an insights development team, and raising my two daughters. I am setting a personal goal to dedicate time into my schedule for learning everything I can about becoming a data scientist! StorybyData was created to record my journey to becoming a data scientist and to provide content around all things data science. Visit storybydata.com to subscribe! You can also subscribe to this YouTube channel to be notified of new content around data science.The Difference Between Data Analysis and Data Modeling Concepts
🛈⏬In today’s information rich world, we are seeing more and more data-related analysis skills in business analysis jobs. We’ve been asked several times whether business intelligence and business analysis roles are really different roles, and how to build a career path into business analysis without getting wrapped into business intelligence and data analysis. In this video, we’re going to pick apart the difference between data modeling concepts and data analysis, and give you a clear view as to when each skill set is required as you plan out your business analysis career path. For more information on data modeling, check out this list of essential data modeling techniques: http://www.bridging-the-gap.com/data-modeling-techniques/Top 10 Highest Paying Jobs In 2018 | Trending Technologies You Must Learn | Edureka
🛈⏬***** Edureka Certification Training : https://www.edureka.co ***** ** Download Edureka Skill Report 2018: http://bit.ly/2Jea6Im ** This Edureka Top 10 Highest Paying Jobs in 2018 video will introduce you to the top 10 highest paid jobs in the market across the world along with their salary package, job description and required skillset. Subscribe to our channel to get video updates. Hit the subscribe button above. #Top10Technologies #Top10HighestPayingJobs2018 #toptenjobs2018 #2018 #datascientist #bigdataarchitect ----------------------------------------------------------------- For more information, please write back to us at sales@edureka.co or call us at IND: 9606058406 / US: 18338555775 (toll-free). Facebook: https://www.facebook.com/edurekaIN/ Twitter: https://twitter.com/edurekain LinkedIn: https://www.linkedin.com/company/edurekaData Science Crash Course
🛈⏬Here are updated, more compact videos: Overview of Basic ML Algorithms: www.youtube.com/watch?v=ggIk08PNcBo Overview of Spark MLlib Module: www.youtube.com/watch?v=C-44fsv5XgE Click this link to view slides. http://www.slideshare.net/HadoopSummit/data-science-with-apache-spark-crash-course-hs16sjHow to Become a Data Scientist in 2017? | Data Scientist Career | Data Science Future
🛈⏬About the Webinar : Agenda of this session will include answers to the following questions: 1. Why is it the best time to take up Data Science as a career? 2. How can you take the first step in Data Science? (After all, first step is always the hardest!) 3. How can you become better and progress fast? 4. How is life after becoming a Data Scientist? About the Host : Jesse Steinweg-Woods is soon-to-be a Senior Data Scientist at tronc, working on recommender systems for articles and understanding customer behavior. Previously, he worked at Argo Group Insurance on new pricing models that took advantage of machine learning techniques. He received his PhD in Atmospheric Science from Texas A&M University, and his research focused on numerical weather and climate prediction. Slides: https://www.slideshare.net/HackerEarth/how-to-become-a-data-scientist-72258005 Questions Answered: 1. How can a college fresher (say, studying in sophomore or final year) become a data scientist ? What projects can they do ? What skills should they focus on ? How to start applying for jobs ? 2. How can an experienced professional make a career shift into data science ? Let's say, someone has 3 years of experience in Java, and he now wants to become a data scientist. Or, let's say, someone knows Hive, Pig, Flume, Hadoop, what could be natural career progression for him ? 3. How is a Machine Learning Engineer different from Data Scientist ? 4. How is a Statistician different from a Data Scientist ? 5. How is a Data Engineer different from a Data Scientist ? 6. What is the relationship between data science and machine learning ? 7. What are the most commonly used ML algorithms in industry today, so that students can master them first ? 8. What is the future of Data Scientist job ? Will it survive after 5 - 10 years or get automated? 9. Can data science be used in building geological applications ? If yes, what would be the starting point ? More webinars and updates : https://goo.gl/MEAALs Subscribe our channel for More Updates : https://goo.gl/suzeTBJobs & Career opportunities in Data Science ll Data Analyst ll Data Scientist ll Salary
🛈⏬Details about Data Science ;- https://www.youtube.com/watch?v=zOY7RtmMRJQ Top colleges in India :- https://youtu.be/h0GyoPf9aLgThe Data Scientist - 60 Second Data Science
🛈⏬How much can you learn about data science in 60 seconds? Our 60 Second Data Science series tests that question. We offer short intros to topics in Data Science aimed at absolute beginners. Find out more about our data science platform at: http:// www.expertmodels.comGiovanni Lanzani | Applied Data Science
🛈⏬PyData Amsterdam 2017 This is a combination of a talks that I gave at the PyData Amsterdam meetup this year and at various institutions that payed me a good amount of money to tell them what they were doing wrong. I talk about the data science workflow and where things mostly go wrong. The talk also touches on the type of people that can help companies do applied data science, and what most MOOCs don't teach you.What Techniques Do Business Analysts Use?
🛈⏬This KnowledgeKnugget™ (KK) is part of an eCourse Business Analysis Defined . VIEW COURSE OUTLINE at http://businessanalysisexperts.com/product/video-course-business-analysis-defined/. Also available as Paperback or Kindle eBook at http://www.amazon.com/dp/B00K7MM50O/. DESCRIPTION: Although the field of IT Business Analysis offers great career opportunities for those seeking employment, some business analysis skills are essential for any adult in the business world today. For example, the task of defining the requirements for an IT solution is handed to Business Analysts as well as Subject Matter Experts, Developers, System Analysts, Product Owners, Project Managers, Line Managers, or any other business expert. Applying business analysis techniques to define their business needs results in much higher chances for a successful IT project. In this KnowledgeKnugget™ you will learn what business analysis techniques and tools are most commonly used around the world based on surveys of actual business analysts. This KnowledgeKnugget™ answers questions like: 1. What are the primary activities in business analysis? 2. What tools or techniques do they use? To view more IT requirements training, visit the Business Analysis Learning Store at http://businessanalysisexperts.com/business-analysis-training-store/. PARTIAL TRANSCRIPT: Business analysis is the process of studying a business or any other organization to identify business opportunities / problem areas and suggest potential solutions. A wide range of people with various titles, roles and responsibilities actually apply business analysis techniques within an organization. There are three fundamentally different flavors or levels of business analysis: 1. Strategic Business Analysis (aka Enterprise Analysis) (http://businessanalysisexperts.com/strategic-business-analysis/ ) 2. Tactical Business Analysis (http://businessanalysisexperts.com/tactical-business-analysis/) 3. Operational Business Analysis (http://businessanalysisexperts.com/operational-business-analysis/Operational Business Analysis) Strategic Business Analysis is the study of business visions, goals, objectives, and strategies of an organization or an organizational unit to identify the desired future. It encompasses the analysis of existing organizational structure, policies, politics, problems, opportunities, and application architecture to build a business case for change. This analysis employs business analysis techniques such as Variance Analysis, Feasibility Analysis, Force Field Analysis, Decision Analysis, and Key Performance Indicators to support senior management in the decision-making process. The primary outcome of this work is a set of defined, prioritized projects and initiatives that the organization will undertake to create the desired future. If the initiative includes the development of software using an Agile Software Development Methodology (SDM) (http://businessanalysisexperts.com/product/business-analysis-agile-methodologies/), strategic business analysis techniques identify themes and/or epics, and initiate a product backlog. Tactical Business Analysis is at the project or initiative level to flush out the details of the proposed solution and to ensure that it meets the needs of the business community. Commonly used business analysis techniques at this level include Stakeholder Identification (http://businessanalysisexperts.com/product/how-to-identify-stakeholders-it-projects/), Interviewing (http://businessanalysisexperts.com/product/requirements-elicitation-gathering-business-stakeholder-it-requirements/), Facilitation (http://businessanalysisexperts.com/product/how-to-facilitate-requirements-gathering-workshops/), Baselining, Coverage Matrices, MoSCoW Analysis (http://businessanalysisexperts.com/product/requirements-prioritization-two-simple-techniques/), Benchmarking, Business Rules Analysis, Change Management, Process and Data Modeling (http://businessanalysisexperts.com/product/business-data-modeling-informational-requirements/), and Functional Decomposition (http://businessanalysisexperts.com/product/video-course-exposing-functional-and-non-functional-requirements/). In an Agile environment, Tactical Business Analysis adds to the Product Backlog and/or Release Plans expressed in Themes, Business Epics, Architecture Epics, User Stories (http://businessanalysisexperts.com/product/video-course-writing-user-stories/), and User Story Epics. In a traditional setting, the primary outcome of Tactical Business Analysis is a set of textual and/or modeled Business and Stakeholder Requirements (http://businessanalysisexperts.com/product/video-course-writing-requirements/). ..........Data Science Project
🛈⏬In my previous post we kicked-off the Global Super Store Project. We formed the questions we will try to answer and collected / cleansed the data we will be working with. Now we can begin data analysis. Just to recap, here are the questions we want to answer: In order to increase our sales, we want to hire more salespeople. In which location should we invest to build up our sales team? We want to show our top 10 customers our appreciation by sending them a gift card that has $500 in store credit. Which customers should we send it to? We want to decrease the number of products that we offer, which products should we discontinue? Additionally, here is the data set we will use. http://storybydata.com/wp-content/uploads/2016/12/global_superstore_2016-1.xlsxData Science vs Big Data vs Data Analytics | Simplilearn
🛈⏬Data is everywhere. In fact, the amount of digital data that exists is growing at a rapid rate, doubling every two years, and changing the way we live. According to IBM, 2.5 billion gigabytes (GB) of data was generated every day in 2012. An article by Forbes states that Data is growing faster than ever before and by the year 2020, about 1.7 megabytes of new information will be created every second for every human being on the planet. Which makes it extremely important to at least know the basics of the field. After all, here is where our future lies. In this video, we will differentiate between the Data Science, Big Data, and Data Analytics, based on what it is, where it is used, the skills you need to become a professional in the field, and the salary prospects in each field. For more updates on courses and tips follow us on: - Facebook : https://www.facebook.com/Simplilearn - Twitter: https://twitter.com/simplilearn Get the android app: http://bit.ly/1WlVo4u Get the iOS app: http://apple.co/1HIO5J0Microsoft Data Science Curriculum | Microsoft on edX
🛈⏬Enroll in this program on edX: https://prod-edx-mktg-edit.edx.org/microsoft-professional-program-data-0 Already considered to be one of the hottest jobs of 2016, the shortage of data scientists continues to grow. For qualified job seekers, this creates a tremendous opportunity. Understanding this, Microsoft has worked closely with leading universities and employers to develop a curriculum that will help prepare the next generation of data scientists. To begin down the path towards an exciting career in data science, our employer-endorsed curriculum gives graduates an advantage over other job seekers by pairing university-caliber hands on labs with highly rated online courses help you develop the skills that employers are asking for. In the following courses, you will apply proven data science methodologies and principles while learning to use a range of common data science technologies to explore, transform, model, and visualize data, and create the next generation of intelligent solution. You'll Learn To - Use Microsoft Excel to explore data - Use Transact-SQL to query a relational database - Create data models and visualize data using Excel or Power BI - Apply statistical methods to data - Use R or Python to explore and transform data - Follow a data science methodology - Create and validate machine learning models with Azure Machine Learning - Write R or Python code to build machine learning models - Apply data science techniques to common scenarios - Implement a machine learning solution for a given data problem10 Courses Every Software Engineer Should Take
🛈⏬10 Things Every Engineer Should Know Discuss & Learn :: https://discourse.softerdev.com/ Import courses and topics that you should be able to speak towards.Week 3 Data Scientist Versus Statistician
🛈⏬Brian discusses what makes a data scientist. Jeff Leek makes an appearance. Bad Dungeons and Dragons references abound. Executive data science https://www.coursera.org/specializations/executive-data-science Sign up for the newsletter here : http://tinyletter.com/jhudatascience Ask a question here: https://docs.google.com/forms/d/e/1FAIpQLScE3bgLFd5u6kibWPYMalLenh8wdRnMw2tieHUXxzjVFporyg/viewform If you'd like to donate to the Data Science Lab at Johns Hopkins, click here: https://secure.jhu.edu/form/jhsph (click Other then fill in Data Science Lab in the Department of Biostatistics).